We present a novel method of statistical surface-based morphometry based on the use of non-parametric permutation tests and a spherical wavelet (SWC) shape representation. As an application, we analyze two brain struc...
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ISBN:
(纸本)9781424406715
We present a novel method of statistical surface-based morphometry based on the use of non-parametric permutation tests and a spherical wavelet (SWC) shape representation. As an application, we analyze two brain structures, the caudate nucleus and the hippocampus, and compare the results obtained to shape analysis using a sampled point representation. Our results show that the SWC representation indicates new areas of significance preserved under the FDR correction for both the left caudate nucleus and left hippocampus. Additionally, the spherical wavelet representation provides a natural way to interpret the significance results in terms of scale in addition to knowing the spatial location of the regions
作者：
Kwang-Hyun ParkZeungnam BienDivision of EE
Department of EECS Korea Advanced Institute of Science and Technology 373–1 Kusong-dong Yusong-gu Taejon 305–701 Korea. Zeungname Bien:received the B.S. degree in electronics engineering from Seoul National University
Seoul Korea in 1969 and the M.S. and Ph.D. degrees in electrical engineering from the University of Iowa Iowa City Iowa U.S.A. in 1972 and 1975 respectively. During 1976–1977 academic years he taught as assistant professor at the Department of Electrical Engineering University of Iowa. Then Dr. Bien joined Korea Advanced Institute of Science and Technology summer 1977 and is now Professor of Control Engineering at the Department of Electrical Engineering and Computer Science KAIST. Dr. Bien was the president of the Korea Fuzzy Logic and Intelligent Systems Society during 1990–1995 and also the general chair of IFSA World Congress 1993 and for FUZZ-IEEE99 respectively. He is currently co-Editor-in-Chief for International Journal of Fuzzy Systems (IJFS) Associate Editor for IEEE Transactions on Fuzzy Systems and a regional editor for the International Journal of Intelligent Automation and Soft Computing. He has been serving as Vice President for IFSA since 1997 and is now Chief Chairman of Institute of Electronics Engineers of Korea and Director of Humanfriendly Welfare Robot System Research Center. His current research interests include intelligent control methods with emphasis on fuzzy logic systems service robotics and rehabilitation engineering and large-scale industrial control systems. Kwang-Hyun Park:received the B.S.
M.S. and Ph.D. degrees in electrical engineering and computer science from KAIST Korea in 1994 19997 and 2001 respectively. He is now a researcher at Human-friendly Welfare Robot System Research Center. His research interests include learning control machine learning human-friendly interfaces and service robotics.
It has been found that some huge overshoot in the sense of sup-norm may be observed when typical iterative learning control (ILC) algorithms are applied to LTI systems, even though monotone convergence in the sense of...
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It has been found that some huge overshoot in the sense of sup-norm may be observed when typical iterative learning control (ILC) algorithms are applied to LTI systems, even though monotone convergence in the sense of λ-norm is guaranteed. In this paper, a new ILC algorithm with adjustment of learning interval is proposed to resolve such an undesirable phenomenon, and it is shown that the output error can be monotonically converged to zero in the sense of sup-norm when the proposed ILC algorithm is applied. A numerical example is given to show the effectiveness of the proposed algorithm.
In this paper, we discuss the design philosophy for future high-speed networks. We argue that the fundamental issue for a communication network is to provide connectivity, which means that one node in the network shal...
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ISBN:
(纸本)1424415802
In this paper, we discuss the design philosophy for future high-speed networks. We argue that the fundamental issue for a communication network is to provide connectivity, which means that one node in the network shall be able to send data to another node within a certain amount of time. To provide connectivity in high-speed networks, the key challenge is the scalability issue, which has not been fully addressed in most existing network architectures. To address this challenge, we propose to utilize the hypernetwork theory as the foundation for the design of future high-speed networks. We then use optical network and high-speed wireless network as two examples to illustrate and justify the hypernetwork-based network architecture.
In order to elucidate the nature of ferromagnetic signatures observed in (Zn,Co)O, we have examined experimentally and theoretically magnetic properties and spin-dependent quantum localization effects that control low...
In order to elucidate the nature of ferromagnetic signatures observed in (Zn,Co)O, we have examined experimentally and theoretically magnetic properties and spin-dependent quantum localization effects that control low-temperature magnetoresistance. Our findings, together with a through structural characterization, substantiate the model assigning spontaneous magnetization of (Zn,Co)O to uncompensated spins at the surface of antiferromagnetic nanocrystal of Co-rich wurtzite (Zn,Co)O. The model explains a large anisotropy observed in both magnetization and magnetoresistance in terms of spin Hamiltonian of Co ions in the crystal field of the wurtzite lattice.
This report summarizes the proceedings of a workshop discussion session presentation and visualization of aspects relating to duplicated, copied, or cloned code. The main outcomes of the working session were: (a) a re...
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In this paper, we introduce a novel model, termed as Effective Radius (ER), to calculate the expected number of t-hop neighbors in a multi-hop wireless network with a uniform node distribution on the average. This ER ...
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This paper addresses the underlying sources of performance degradation (e.g. latency, overhead, and starvation) and the difficulties of programmer productivity (e.g. explicit locality management and scheduling, perfor...
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The paper includes a proposal of a new model of coherent concurrent tasks scheduling and a of resources assignment, that are characteristic for the problem of dependable system synthesis. Optimal tasks scheduling, par...
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We present a numerical study about the application of two versions of a second-degree iterative method for the solution of the large-sparse linear systems arising in the discretisation of a 3D Time-Dependent Transient...
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Natural neighbor interpolation methods, such as Sibson's method, are well-known schemes for multivariate data fitting and reconstruction. Despite its many desirable properties, Sibson's method is computational...
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